A novel approach for evaluating of goat milk quality: canonical correlation analysis between major milk composition parameters and fatty acid components in Damascus goats

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dc.authoridKaya, Ufuk/0000-0002-4805-0993
dc.authoridOzkan, Huseyin/0000-0001-5753-8985
dc.contributor.authorKaya, Ufuk
dc.contributor.authorOzkan, Huseyin
dc.contributor.authorCamdeviren, Baran
dc.contributor.authorKaraaslan, Irem
dc.contributor.authorAkin, Yakan
dc.date.accessioned2024-09-18T20:06:26Z
dc.date.available2024-09-18T20:06:26Z
dc.date.issued2021
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractThe aim of this study was to investigate the effects of major milk composition parameters (lactose, protein and fat) and somatic cell score (SCS) on the variation of saturated fatty acids (SFA), monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), unsaturated fatty acids (UFA), omega 6 (omega 6), omega 3 (omega 3), odour index (OI) and nutritive value (NV) of goat milk in the first month of the lactation. For this aim, 120 milk samples were collected in different times post-partum (0, 4, 7, 14 and 28 days) from 24 Damascus goats. Composition parameters and fatty acid components of milk samples were determined. Pearson correlation coefficient and canonical correlation analysis (CCA) were used to evaluate the relationships between major milk parameters and fatty acids components. In addition to positive correlations between major milk parameters, significant and variable correlations were found between major milk composition parameters and fatty acid components according to the Pearson Correlation coefficient. Most of the fatty acids components were also correlated with each other. However, only the first of four calculated pairs of canonical variables was found to be significant, strongly (r(c)= 0.857, P< 0.001). According to the calculations of canonical loading and cross-loading results, protein and lactose from the set of independent variables and OI and NV from the set of dependent variables were found to be the most important variables. On the other hand, redundancy indexes results showed that the fatty acid contents may be explained by the milk components in goat milk. CCA results has revealed that multidimensional evaluation of measurements in dependent and independent variable sets can provide to researchers with important and innovative information for assessment of milk quality. Considering the multiple relationships with a multivariate approach, strong and significant relations were found for the first time in terms of major milk quality parameters in goats.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [119O716]en_US
dc.description.sponsorshipThis study was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) with the 119O716 project number.en_US
dc.identifier.endpage356en_US
dc.identifier.issn1124-4593
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85123511072en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage351en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/8523
dc.identifier.volume27en_US
dc.identifier.wosWOS:000754626500009en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSivar-Soc Italiana Veterinari Animali Redditoen_US
dc.relation.ispartofLarge Animal Reviewen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCanonical correlationen_US
dc.subjectDamascus goaten_US
dc.subjectGoat milken_US
dc.subjectMilk compositionen_US
dc.subjectMilk fatty acid profileen_US
dc.titleA novel approach for evaluating of goat milk quality: canonical correlation analysis between major milk composition parameters and fatty acid components in Damascus goatsen_US
dc.typeArticleen_US

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